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https://hdl.handle.net/2445/220653
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DC Field | Value | Language |
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dc.contributor.author | Cebrecos, Isaac | - |
dc.contributor.author | Mension, Eduard | - |
dc.contributor.author | Alonso Inmaculada | - |
dc.contributor.author | Schettini, Francesco | - |
dc.contributor.author | Ganau, Sergi | - |
dc.contributor.author | Sanfeliu, Esther | - |
dc.contributor.author | Vidal i Sicart, Sergi | - |
dc.contributor.author | Castillo Ecija, Helena | - |
dc.contributor.author | Vidal Losada, Maria Jesús | - |
dc.date.accessioned | 2025-04-25T19:04:25Z | - |
dc.date.available | 2025-04-25T19:04:25Z | - |
dc.date.issued | 2023-02-21 | - |
dc.identifier.issn | 1068-9265 | - |
dc.identifier.uri | https://hdl.handle.net/2445/220653 | - |
dc.description.abstract | Background: In clinically node-negative (cN0) early stage breast cancer (EBC) undergoing primary systemic treatment (PST), post-treatment positive sentinel lymph node (SLN+) directs axillary lymph node dissection (ALND), with uncertain impacts on outcomes and increased morbidities. Patients and methods: We conducted an observational study on imaging-confirmed cN0 EBC, who underwent PST and breast surgery that resulted in SLN+ and underwent ALND. The association among baseline/postsurgical clinic-pathological factors and positive nonsentinel additional axillary lymph nodes (non-SLN+) was analyzed with logistic regression. LASSO regression (LR) identified variables to include in a predictive score of non-SLN+ (ALND-predict). The accuracy and calibration were assessed, an optimal cut-point was then identified, and in silico validation with bootstrap was undertaken. Results: Non-SLN+ were detected in 22.2% cases after ALND. Only progesterone receptor (PR) levels and macrometastatic SLN+ were independently associated to non-SLN+. LR identified PR, Ki67, and type and number of SLN+ as the most efficient covariates. The ALND-predict score was built based on their LR coefficients, showing an area under the curve (AUC) of 0.83 and an optimal cut-off of 63, with a negative predictive value (NPV) of 0.925. Continuous and dichotomic scores had a good fit (p = 0.876 and p = 1.00, respectively) and were independently associated to non-SLN+ [adjusted odds ratio (aOR): 1.06, p = 0.002 and aOR: 23.77, p < 0.001, respectively]. After 5000 bootstrap-adjusted retesting, the estimated bias-corrected and accelerated 95%CI included the aOR. Conclusions: In cN0 EBC with post-PST SLN+, non-SLN+ at ALND are infrequent (~22%) and independently associated to PR levels and macrometastatic SLN. ALND-predict multiparametric score accurately predicted absence of non-SLN involvement, identifying most patients who could be safely spared unnecessary ALND. Prospective validation is required. | - |
dc.format.extent | 12 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Springer Verlag | - |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1245/s10434-023-13231-x | - |
dc.relation.ispartof | Annals of Surgical Oncology, 2023, vol. 30, num.8, p. 4657-4668 | - |
dc.relation.uri | https://doi.org/10.1245/s10434-023-13231-x | - |
dc.rights | (c) American Society of Breast Surgeons; Society of Surgical Oncology, 2023 | - |
dc.source | Articles publicats en revistes (Medicina) | - |
dc.subject.classification | Cirurgia | - |
dc.subject.classification | Càncer de mama | - |
dc.subject.classification | Nodes limfàtics | - |
dc.subject.other | Surgery | - |
dc.subject.other | Breast cancer | - |
dc.subject.other | Lymph nodes | - |
dc.title | Nonsentinel Axillary Lymph Node Status in Clinically Node-Negative Early Breast Cancer After Primary Systemic Therapy and Positive Sentinel Lymph Node: A Predictive Model Proposal | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 747977 | - |
dc.date.updated | 2025-04-25T19:04:25Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Medicina) |
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File | Description | Size | Format | |
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859094.pdf | 961.28 kB | Adobe PDF | View/Open |
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